Instructions to use hf-tiny-model-private/tiny-random-RobertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-RobertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-RobertaModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-RobertaModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fad32f1b4cbf4632232859f06f10a4b9b1656e7932bbffcfc36ef8499274978b
- Size of remote file:
- 352 kB
- SHA256:
- e55ccd5c429f1f233007535e36a09fc19f6334f50c5f9fe25d8d90d5021929fe
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